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Michel SEBAG's Projects

data.table icon data.table

R's data.table package extends data.frame. More info:

datalab icon datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

datamaps icon datamaps

Customizable SVG map visualizations for the web in a single Javascript file using D3.js

debiai icon debiai

Bias detection and contextual evaluation tool for your AI projects

deck.gl icon deck.gl

WebGL2 powered geospatial visualization layers

deep-learning-book icon deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep_learning icon deep_learning

Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano

deepchecks icon deepchecks

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

deepdetect icon deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE

deeplearning4j icon deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deeplearningmovies icon deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

deeplearningproject icon deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

deeplob-deep-convolutional-neural-networks-for-limit-order-books icon deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

deepnumbers icon deepnumbers

A set of educational deep learning demos applied to the MNIST dataset

deepr icon deepr

The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators

deepwater icon deepwater

Deep Learning in H2O using Native GPU Backends

devol icon devol

Automated deep neural network design via genetic programming

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